Interference alignment with differential feedback for time-correlated MIMO channels

Leiming Zhang, Lingyang Song, Meng Ma, Bingli Jiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Interference alignment (IA) has been well recognized as a promising technique to obtain large multiplexing gain in multiple input multiple output (MIMO) interference channels. Most of the existing IA schemes require global channel state information (CSI) at the transmitter to design precoding vectors, which causes high amount of feedback bits. To reduce the feedback overhead, in this paper, we investigate the IA scheme employing differential CSI feedback over time-correlated MIMO channels. Specifically, we analyze the achievable sum-rate performance, and derive the minimum differential feedback rate to preserve the maximum multiplexing gain. In addition, we use the general alternating-minimization precoder design scheme to verify the analytical results.

Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: 5 Dec 20119 Dec 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX
Period5/12/119/12/11

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